• Product Design Case Study (NDA)

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This case study is shared at a high level due to NDA constraints. Specific workflows, data, and internal artifacts have been anonymized or reconstructed while preserving the design approach and decision-making.

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1) Overview

Company: Valura.Ai (fintech)

Product: AI-powered wealth management platform that helps people understand portfolios, explore investment options, and make decisions with clearer guidance.

Role: Lead Product Designer (end-to-end)

Duration: 2025 – Present

Platforms: Responsive web app & mobile app (primary), partner web app (secondary) and internal admin tooling patterns (high-level only)

2) Problem statement

Modern investing platforms often ask people to make high-stakes decisions while navigating:

• Complex onboarding (too many questions, unclear why information is needed)
• Information overload (dense data, unfamiliar terminology, competing priorities)
• Low confidence (fear of “doing it wrong,” uncertainty during market volatility)
• Fragmented experiences (separate views for goals, accounts, performance, and actions)
• Hard-to-interpret performance (numbers without context, weak storytelling)
• Limited personalization (generic suggestions that don’t adapt to intent or behavior)

These challenges matter because they directly impact trust, decision quality, and long-term engagement. When people can’t build a mental model of “where I am, what to do next, and why,” they either delay decisions or overreact—both of which can harm outcomes.

3) Objectives